Trading Algorithm & Financial Portfolio Optimization with Python

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Trading Algorithm & Financial Portfolio Optimization with Python Course Overview

Enroll for the 4-day Trading Algorithm & Financial Portfolio Optimization with Python training course from Koenig Solutions. The course is designed to learn the how people use Python to conduct rigorous financial analysis and pursue algorithmic trading.

Through a blend of hands-on labs and interactive lectures, you will be able to learn fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including numpy, pandas, matplotlib, statsmodels, Quantopian, and much more!

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

You will learn:

Module 1: Getting Started with Python
  • Introducing Python
  • Installing Python on Windows
  • Installing Python on Linux and other Operating Systems
  • Introducing Python IDLE
  • Programming in Interactive Mode
  • Programming in Scripting Mode
  • NumPy Arrays
  • NumPy Operations
  • NumPy Indexing
  • Series
  • Data Frames
  • Missing Data
  • Merging, Joining, and Concatenating DataFrames
  • Pandas Common Operations
  • Data Input and Output
  • Matplotlib Basics
  • Pandas Time Series Visualization
  • Datetime Index
  • Time Resampling
  • Time Shifts
  • Pandas Rolling and Expanding
  • Time Series Basics
  • Introduction to Statsmodels
  • ETS Theory
  • EWMA Theory
  • EWMA Code Along
  • ETS Code Along
  • ARIMA Theory
  • ACF and PACF
  • ARIMA with Statsmodels
  • Sharpe Ratio Slides
  • Portfolio Allocation Code
  • Portfolio Optimization
  • Types of Funds
  • Short Selling
  • CAPM - Capital Asset Pricing Model
  • Stock, Splits and Dividends
  • EMH
  • Efficient Frontier
  • Sharp Ratio
  • Pipeline Trading Algorithm
  • Leverage
  • Hedging
  • Portfolio Analysis with PyFolio
  • Futures on Quantopian
  • Quantopian Research Basics
  • Quantopian Algorithms Basics
  • First Trading Algorithm
  • Quantopian Pipelines Factors
  • Quantopian Pipelines Filters
  • Quantopian Pipeline – Masking and Classifiers
Live Online Training (Duration : 32 Hours) Fee On Request
Group Training Date On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Physical Classroom Training with 4 hours /8 hours option is available. Enquire Now!
Ultra-Fast Track

If you can't spare 32 hours. We can offer you an Ultra-Fast Track for 16 hours
Enquire Now!

Course Prerequisites
  • Some knowledge of programming (preferably Python)
  • Basic Statistics and Linear Algebra will be helpful

Who Should do Trading Algorithm & Financial Portfolio Optimization with Python Course

Someone familiar with Python who wants to learn about Financial Analysis!

Learning Objectives

  • Use NumPy to quickly work with Numerical Data
  • Use Pandas for Analyze and Visualize Data
  • Use Matplotlib to create custom plots
  • Learn how to use statsmodels for Time Series Analysis
  • Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
  • Use Exponentially Weighted Moving Averages
  • Use ARIMA models on Time Series Data
  • Calculate the Sharpe Ratio
  • Optimize Portfolio Allocations
  • Understand the Capital Asset Pricing Model
  • Learn about the Efficient Market Hypothesis
  • Conduct algorithmic Trading on Quantopian

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FAQ's


In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
Yes, course requiring practical include hands-on labs.
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You can request a refund if you do not wish to enroll in the course.
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Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
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You will receive the digital certificate post training completion via learning enhancement tool after registration.
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You can pay through debit/credit card or bank wire transfer.
Dubai, Goa, Delhi, Bangalore.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.

Prices & Payments

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Travel and Visa

Yes we do after your registration for course.

Food and Beverages

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